Weighted Group Decision Making Using Multi-identity Physical Unclonable Functions
Lake Bu, Michel A. Kinsy · 2018
To enable next-generation distributed and connected computing systems, we must address the context-aware chip authentication challenge. An important remaining gap in the design of these systems is the enabling of multi-personality authentication to support applications or schemes requiring a single device to own manifold legitimate identities. In this work, we propose a Multi-identity Physical Unclonable Function (Mi-PUF) assisted weighted group decision making scheme. The Mi-PUF approach enables individual devices to be authenticated and associated with multiple identities in order to hold different number of ballots. Hence, devices with higher impact in a decision making network will have more weight than the less influential ones. Besides the introduction of the scheme, the design and FPGA implementation details of the Mi-PUF are explored and presented.